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"""
Collection of builtin functions used for host reference in EVT
"""

import numpy as np

from cutlass.backend.utils.software import CheckPackages

torch_available = CheckPackages().check_torch()
if torch_available:
    import torch


def multiply_add(x, y, z):
    return x * y + z


def sum(x, dim):
    if isinstance(x, np.ndarray):
        return x.sum(axis=tuple(dim))
    elif torch_available and isinstance(x, torch.Tensor):
        return torch.sum(x, dim)


def max(x, dim):
    if isinstance(x, np.ndarray):
        return x.max(axis=tuple(dim))
    elif torch_available and isinstance(x, torch.Tensor):
        return torch.amax(x, dim)


##############################################################################
# Layout manipulate nodes
##############################################################################

def permute(x, indices: tuple):
    if isinstance(x, np.ndarray):
        return np.transpose(x, axes=indices)
    elif torch_available and isinstance(x, torch.Tensor):
        return x.permute(*indices)


def reshape(x, new_shape: tuple):
    if isinstance(x, np.ndarray):
        return np.reshape(x, newshape=new_shape)
    elif torch_available and isinstance(x, torch.Tensor):
        return x.view(new_shape)
